Search:
Computing and Library Services - delivering an inspiring information environment

Intelligent adaptive control of forces in milling processes

Rubio Rodriguez, Luis and De la Sen Parte, Manuel (2007) Intelligent adaptive control of forces in milling processes. In: 15th IEEE Mediterranean Conference on Control and Automation, 27th-29th June 2007, Athens, Greece.

[img] PDF - Accepted Version
Download (258kB)

Abstract

Intelligent schedules has gained attention in manufacture environments due to increase competence. In this paper an intelligent adaptive discrete control is applied to a practical milling system in order to minimize process malfunctions. Two hierarchical supervisory levels compose the control: tuning and switching. The continuous unknown milling transfer function is discretized under a set of fractional order hold of correcting gains running in parallel. Each discrete plant parameter is tuned with a recursive least square algorithm. The correcting gain is switched within the given set in order to generate the optimal real control input to the plant through the minimization of a estimated error tracking performance index which evaluates the tracking error. The intelligent supervisory scheme chooses online the one with the smallest value has at each multiple of the residence time.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Luis Rodriguez
Date Deposited: 20 Dec 2012 15:59
Last Modified: 02 Dec 2016 05:40
URI: http://eprints.hud.ac.uk/id/eprint/16083

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©